A Hand tracking module
Project description
HT (AMD Intel System)
A package that allows to track the x, y, z locations of specific points from 0-20 in your hands. (AMD Intel System)
Key Features • How To Use • Install •
Key Features
- Tracks your hand
- The hand connections or lines can be show or hidden
- Works for almost all computers
- Quick and not much lag
- Simple code that is easy to understand and customize if needed
How To Use
The following code gets the x, y locations of the index finger tip and moves the mouse accordingly
import htamd
import cv2
cap = cv2.VideoCapture(0)
handt = htamd.ht()
while 1:
success, img = cap.read()
img = handt.findhand(img, show_lines=False)
lml = handt.findpos()
if len(lml) != 0:
print(lml[8])
cv2.imshow("Box", img)
cv2.waitKey(1)
Install
Install with pip
$ pip install htamd
License
MIT
http://advaith.athenaserv.com · GitHub @advaith-22 · Twitter @_Advaith_S
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
htamd-0.2.tar.gz
(3.4 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
htamd-0.2-py3-none-any.whl
(3.3 kB
view details)
File details
Details for the file htamd-0.2.tar.gz.
File metadata
- Download URL: htamd-0.2.tar.gz
- Upload date:
- Size: 3.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5540a6d1e5ee5317e79c6b9e8daf2678fdb60caf5f8336cb500c14b261eebb63
|
|
| MD5 |
64bbf26574bae3cce09a7ed154b0ea67
|
|
| BLAKE2b-256 |
8fad21f1a2e6ef444b7f84ea4fd47874d629114ecb64fb38998ef530e95a6cbf
|
File details
Details for the file htamd-0.2-py3-none-any.whl.
File metadata
- Download URL: htamd-0.2-py3-none-any.whl
- Upload date:
- Size: 3.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f86886435d2d6fb7ad15f6f95a0e9f959447515e4248501b8798067c9e4fe401
|
|
| MD5 |
ff94affcac17f5863dcb1b304ed1e21a
|
|
| BLAKE2b-256 |
e0cc684e8cf0335f5ba4b14112c99df6b14a464a49cd6ea2c19c55b7f78cc6f8
|